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Added 25 mins ago
B
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- $75,000 to $95,000 CAD / year
- Full-time
Set up new client engagements, including coordinating required information, signed agreements and project opening with Finance.
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PH
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Added 2 hours ago
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Food Services Worker (Casual Part Time)
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Public Sector Buildings - Greater Toronto Area Talent Community
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Public Sector Buildings - Greater Toronto Area Talent Community
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Added 3 hours ago
C
Data Quality Exception Management Lead Analyst
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Mississauga, ON
- Full-time
…creativity where you will have the ability to analyze both current capabilities and target state models and help build a roadmap that advances the state of data quality exception management…
Added 3 hours ago
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Added 4 hours ago
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WC
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Added 4 hours ago
4A
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Added 4 hours ago
RH
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Added 5 hours ago
D
Advisor, Securities
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Quebec, QC
- Full-time
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Citi

Data Quality Exception Management Lead Analyst

Mississauga, ON, Canada

$111,600.00 - $161,600.00 · Full-time

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Job details

Pay: $111,600.00 - $161,600.00
Job type: Full-time
Experience: 6-10 years relevant experience in a Data Governance/ Data Management/ Process Engineering or related area
Posting language: English
Posted: Oct 28, 2026

Original job description

The Data Quality Exception Management Lead Analyst is a senior individual contributor responsible for delivering against the directional strategy of Data Quality Exception Management. This position requires innovative creativity where you will have the ability to analyze both current capabilities and target state models and help build a roadmap that advances the state of data quality exception management systems.

The Enterprise Data Office (EDO) maintains tooling that enables businesses across the bank to manage, track, and disposition data quality exceptions that originate from data quality rules. In this role, you will own the requirements for one or more data quality exception management tools. You will work with other data quality professionals to maintain, enhance, and improve the capabilities available within the tools. You will actively solicit and author requirements from the businesses to help improve capabilities and remediate pain points, continuously pursuing simplicity of design and integration with enhanced capabilities, including AI-based features. You will also work with technical teams who will build the enhanced functions to ensure the requirements are understood and properly implemented.

This role requires someone who is dynamic, flexible, and can easily respond to quickly changing needs. The candidate must have the ability to handle ambiguity and complexity and be able to deliver on multiple responsibilities. Developed communication and diplomacy skills are required in order to guide, influence and convince others.

Responsibilities:

Understand and adhere to all Policy-level requirements related to Data Quality.
Partner with multiple teams to build software solutions related to Data Governance policies and/or Data Risk and Control frameworks.
Author functional requirements for the enhancement of tools that enable Data Quality Exception management. Document requirements in JIRA stories and conduct grooming sessions with developers and technical staff.
Prioritize requirements for release sprints that align to changing Policy requirements and business operational needs.
Work closely with data-focused stakeholders embedded within the various businesses across Citi to understand their operational procedures as they relate to data quality exception management. Identify opportunities to automate manual steps, alleviate inefficiencies in existing tooling, integrate AI-forward solutions, and prioritize the product backlog.
Provide expertise on Data Governance and/or Data Risk and Controls framework including design, effectiveness, performance monitoring and self-assessment processes
Oversight and analysis of data-related issues, tracking of ownership and target dates and associated metrics and reporting
Gather and synthesize metrics on existing Data Governance and/or Data Risk and Controls principles, policies, practices and standards, e.g., understanding industry best practices
Produce recommendations for enterprise-wide guiding principles, policies, processes and practices
Determine requirements for and prioritize development of new enterprise-wide principles, policies, processes and practices as needed
Develop and manage approach for measuring adoption of principles, policies, processes and practices

Recommended Qualifications:

6-10 years relevant experience in a Data Governance/ Data Management/ Process Engineering or related area
Advanced understanding of Project Management methodologies and tools
Demonstrated experience authoring business and/or functional requirements for implementation by development teams is required.
Exposure to working in an AI-assisted environment, especially with regards to requirement authoring and JIRA management, strongly preferred.
Familiarity with AI-assisted PDLC (Product Development Lifecycle) strongly preferred.
Prior experience as a Product Owner strongly preferred.
Ability to monitor tight deadlines or unexpected requirement changes, with the ability to anticipate and balance needs of multiple stakeholders
Ability to communicate effectively to develop and deliver multi-mode communications that convey a clear understanding of the unique needs of different audiences

Education:

Bachelor's/University degree, Master's degree preferred

•Working Environment: office setting, minimal travelling and working hours in the office may be required during projects.

Effort: minimal physical effort required. High levels of prolonged and intense concentration may be required in front of computer.

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Job Family Group:

Data Governance

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Job Family:

Data Governance Foundation

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Time Type:

Full time

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Primary Location Full Time Salary Range:

$111,600.00 - $161,600.00

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Most Relevant Skills

Data Governance, Data Management, Data Quality, Internal Controls, Management Reporting, Policy, Procedure, and Regulation, Program Management, Risk Controls and Monitors.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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This job opening is for an existing job vacancy.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

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More about this job

Responsibilities

Own and improve requirements for data quality exception management tools, translating business needs into prioritized JIRA stories and working with technical teams to deliver enhancements. Analyze data governance and risk-control practices, monitor data-related issues and metrics, and identify opportunities to streamline processes through automation and AI-enabled capabilities.

Requirements

Requires 6–10 years of relevant experience in data governance, data management, process engineering, or a related field, along with experience authoring functional requirements for development teams. A bachelor's degree is required or expected, a master's degree is preferred, and product ownership and familiarity with AI-assisted product development are strongly preferred.

Skills

Data Governance
Data Management
Data Quality
Data Quality Exception Management
Requirements Authoring
JIRA
Product Ownership
Project Management
Process Engineering
Internal Controls
Risk Controls
Management Reporting
Policy and Procedure Management
Stakeholder Communication
Backlog Prioritization
AI-Assisted Product Development

Visa sponsorship

Not detected in the job text

Keywords

Data Governance
Data Management
Data Quality
Data Quality Exception Management
Enterprise Data Office
Data Risk and Controls
JIRA
Functional Requirements
Business Requirements
Product Owner
Product Development Lifecycle
AI-Assisted Environment
Project Management
Process Engineering
Policy Requirements
Data Governance Framework
Risk and Control Framework
Data Quality Rules
Exception Management Tools
Release Sprints
Product Backlog
Automation
Metrics and Reporting
Effectiveness Monitoring
Self-Assessment
Stakeholder Management
Industry Best Practices
Enterprise-Wide Policies
Business Process Improvement

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